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This study aims to examine the relationship between the perceptions of local residents concerning political factors and support for tourism development in the Kashmir region.

Primary data have been collected (n = 650) from the residents of the top five tourist destinations (Pahalgam, Gulmarg, Srinagar, Sonamarg and Kokernag) through a pre-tested questionnaire by multistage sampling method. In presence of non-normal data, the partial least squares structural equation model is applied for analysis. The study is based on the theoretical framework of social exchange theory (SET) and institutional theory of political trust (ITPT).

Results suggest that trust in government, the perceived economic performance of government and level of power are negative determinants of support for tourism development, which nullifies SET for politically disturbed regions.

The results of this study are useful for the local government and tourism institutions in policy formation and fill the vast gap in tourism literature with a theoretical base. This study is also an addition to the existing literature on city tourism for the politically disturbed region.

Trade of environmentally sensitive goods (ESGs) is often exposed to countries with less stringent regulations suggesting that those countries have comparative advantage in the polluting sector. The Group of Twenty (G20) members are among the highest polluters, globally. Different stringency policies are enacted time to time in G20 to control environment pollution. However, the impact of policy stringency on export performance of ESGs is seldom examined. The paper aims to address some of the issues concerning this matter.

The present study aims to address the short run and long-run association between Revealed Comparative Advantage of ESGs and Environmental Policy Stringency Index for the period of 1990–2019 in G20. Periodic fluctuations and time adjustment mechanism are also studied. Second Generation Panel Cointegration, Vector Error Correction, Impulse Response Function and Variance Decomposition methods are employed to address the objectives.

Result is evident that more exposure to stringent environmental regulations reduces the comparative advantage of ESGs in the long run. But there is no evidence of the short-run relationship between the variables. The possible reason could be that new regulations enacted prove fruitful in the long run.

The novelty of the study is to focus on inter linkages between stringency and global export competitiveness in G20, almost nonexistent in the past studies. The study also provides a road map to policymakers to find out potential ways for sustainable development by balancing environmental stringency measures and international trade.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0560

Textile, listed as one of the highly environmentally sensitive goods, its trade is susceptible to be influenced by the implementation of stringent environmental policies. This paper aims to investigate the long-run relationship between revealed comparative advantage (RCA) and Environmental Policy Stringency Index (EPSI) for textile exports of G20 countries in panel data setup.

Apart from trend analysis, the authors have employed Pedroni and Westerlund panel cointegration method and fully modified ordinary least square (FMOLS) method to study the long-run relationship between RCA and EPSI in presence of cross-sectional dependence.

A strong link between trade and environmental stringency is observed for textile in the present study. For G20 countries, slight evidence of the Pollution Haven Hypothesis has also been witnessed in the study. Correspondingly, the results reveal the presence of long-run association between the variables under study, implying that stringent environmental policies reduce RCA for some countries, whereas some countries witness the Porter hypothesis.

The results imply that policy formulation should not aim at limiting the efforts of connecting RCA to environmental stringency but to set trade policies in a wider framework, considering environmental concerns, as these are inseparable subjects. However, this study also provides relevant real-world implications that can support further research.

The present study has important implications for textile exporters such as green innovations. The Porter hypothesis can be a beneficial tool for G20 exporters in enhancing their export performance, especially for the ones dealing in environmentally sensitive goods. This study offers relevant policy implications and provides directions for future research on global trade and environment nexus.

This study deals in a debatable area of research that evaluates the interlinkages between environmental stringency and global trade flows in the G20 countries. An important observation of the study is the asymmetrical nature of policy stringency across different countries and its impact on trade. The unavailability of updated data is the limitation of the present study.

The present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.

Primary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.

The results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.

The results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

The lack of proper dissemination of market information is observed as the main reason of poor marketing of the agricultural produce in India. Application of information and communication technology (ICT) can bridge this information gap by means of dissemination of required marketing information specifically targeted at the farmers. The purpose of this paper is to study the impact of ICT on marketing of rice in Uttar Pradesh, one of the biggest northern states of India.

As rice is the dominant crop of Uttar Pradesh, the impact of ICT on net price received (NP_f) by rice producers of the state is studied. An attempt is also made to identify the factors that influence the use of ICT. Primary data are collected through a multistage sampling technique. Single, multiple dummy and binary logistic regression models are used in the present work.

A significant difference is observed in the NP_f of the farmers using ICT than that of non-users. Education and land holding type also have a positive and significant impact on ICT use.

In the existing literature, the study related to the impact of ICT on agricultural marketing is almost absent for India in general, and Uttar Pradesh in particular. ICT has created impact in almost all directions of life. It is expected that the implementation of ICT will create a notable impact on the income level of the farmers. The present study will give a direction in this regard. The study is based on primary data and original work of the authors.